The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 88-211
Full Name: Stjepan Picek
Position: Student
Age: ON
Sex: Male
Address: Ugrini 50A
Country: CROATIA (HRVATSKA)
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E-mail address: stjepan@computer.org
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Title of the Paper: Comparison of a Crossover Operator in Binary-coded Genetic Algorithms
Authors as they appear in the Paper: Stjepan Picek, Marin Golub
Email addresses of all the authors: stjepan@computer.org, marin.golub@fer.hr
Number of paper pages: 10
Abstract: Genetic algorithms (GAs) represent a method that mimics the process of natural evolution in effort to find good solutions. In that process, crossover operator plays an important role. To comprehend the genetic algorithms as a whole, it is necessary to understand the role of a crossover operator. Today, there are a number of different crossover operators that can be used in binary-coded GAs. How to decide what operator to use when solving a problem? When dealing with different classes of problems, crossover operators will show various levels of efficiency in solving those problems. A number of test functions with various levels of difficulty has been selected as a test polygon for determine the performance of crossover operators. The aim of this paper is to present a larger set of crossover operators used in genetic algorithms with binary representation and to draw some conclusions about their efficiency. Results presented here confirm the high-efficiency of uniform!
crossover and two-point crossover, but also show some interesting comparisons among others, less used crossover operators.
Keywords: Evolutionary computation, Genetic algorithms, Crossover operator, Efficiency, Binary representation, Test functions
EXTENSION of the file: .pdf
Special (Invited) Session: On the Efficiency of Crossover Operators in Genetic Algorithms with Binary Representation
Organizer of the Session: 632-237
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